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ORCIDEmine Yilmaz
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- affiliation: University College London, London, UK
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2020 – today
- 2025
[j28]Markus Schedl
, Yashar Deldjoo, Pablo Castells, Emine Yilmaz:
Introduction to the Special Issue on Trustworthy Recommender Systems. Trans. Recomm. Syst. 3(2): 12:1-12:8 (2025)- [c140]Zihan Wang, Jinyuan Fang, Giacomo Frisoni, Zhuyun Dai, Zaiqiao Meng, Gianluca Moro, Emine Yilmaz:
KEIR @ ECIR 2025: The Second Workshop on Knowledge-Enhanced Information Retrieval. ECIR (5) 2025: 306-312 - [c139]Xi Wang, Procheta Sen, Ruizhe Li, Emine Yilmaz:
Adaptive Retrieval-Augmented Generation for Conversational Systems. NAACL (Findings) 2025: 491-503 - [c138]Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz:
LLM4Eval@WSDM 2025: Large Language Model for Evaluation in Information Retrieval. WSDM 2025: 1120-1121 - [c137]Hossein A. Rahmani, Xi Wang, Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Paul Thomas:
SynDL: A Large-Scale Synthetic Test Collection for Passage Retrieval. WWW (Companion Volume) 2025: 781-784 - [c136]Hossein A. Rahmani, Emine Yilmaz, Nick Craswell, Bhaskar Mitra:
JudgeBlender: Ensembling Automatic Relevance Judgments. WWW (Companion Volume) 2025: 1268-1272 - [i66]Huichi Zhou, Kin-Hei Lee, Zhonghao Zhan, Yue Chen, Zhenhao Li, Zhaoyang Wang, Hamed Haddadi, Emine Yilmaz:
TrustRAG: Enhancing Robustness and Trustworthiness in RAG. CoRR abs/2501.00879 (2025) - [i65]Zihan Wang, Jinyuan Fang, Giacomo Frisoni, Zhuyun Dai, Zaiqiao Meng, Gianluca Moro, Emine Yilmaz:
KEIR @ ECIR 2025: The Second Workshop on Knowledge-Enhanced Information Retrieval. CoRR abs/2501.11499 (2025) - [i64]Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz:
Judging the Judges: A Collection of LLM-Generated Relevance Judgements. CoRR abs/2502.13908 (2025) - [i63]Ruizhe Li, Chen Chen, Yuchen Hu, Yanjun Gao, Xi Wang, Emine Yilmaz:
Attributing Response to Context: A Jensen-Shannon Divergence Driven Mechanistic Study of Context Attribution in Retrieval-Augmented Generation. CoRR abs/2505.16415 (2025) - [i62]Chuan Meng, Francesco Tonolini, Fengran Mo, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai:
Bridging the Gap: From Ad-hoc to Proactive Search in Conversations. CoRR abs/2506.00983 (2025) - [i61]Zheng Zhao, Clara Vania, Subhradeep Kayal, Naila Khan, Shay B. Cohen, Emine Yilmaz:
PersonaLens: A Benchmark for Personalization Evaluation in Conversational AI Assistants. CoRR abs/2506.09902 (2025) - [i60]Hossein A. Rahmani, Varsha Ramineni, Nick Craswell, Bhaskar Mitra, Emine Yilmaz:
Towards Understanding Bias in Synthetic Data for Evaluation. CoRR abs/2506.10301 (2025) - 2024
- [j27]Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz:
Report on the 1st Workshop on Large Language Model for Evaluation in Information Retrieval (LLM4Eval 2024) at SIGIR 2024. SIGIR Forum 58(2): 1-12 (2024) - [j26]Wenqiang Lei, Richang Hong, Hamed Zamani, Pawel Budzianowski, Vanessa Murdock, Emine Yilmaz:
Special Issue on Conversational Information Seeking. ACM Trans. Web 18(4): 41:1-41:3 (2024) - [c135]Yuxiang Qiu, Karim Djemili, Denis Elezi, Aaneel Shalman Srazali, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor, Sahan Bulathwela:
A Toolbox for Modelling Engagement with Educational Videos. AAAI 2024: 23128-23136 - [c134]Fares Fawzi, Sarang Balan, Mutlu Cukurova, Emine Yilmaz, Sahan Bulathwela:
Towards Human-Like Educational Question Generation with Small Language Models. AIED Companion (1) 2024: 295-303 - [c133]Hossein A. Rahmani, Xi Wang, Mohammad Aliannejadi, Mohammadmehdi Naghiaei, Emine Yilmaz:
Clarifying the Path to User Satisfaction: An Investigation into Clarification Usefulness. EACL (Findings) 2024: 1266-1277 - [c132]Xi Wang, Procheta Sen, Ruizhe Li, Emine Yilmaz:
Simulated Task Oriented Dialogues for Developing Versatile Conversational Agents. ECIR (1) 2024: 157-172 - [c131]Zaiqiao Meng, Shangsong Liang, Xin Xin, Gianluca Moro, Evangelos Kanoulas, Emine Yilmaz:
KEIR @ ECIR 2024: The First Workshop on Knowledge-Enhanced Information Retrieval. ECIR (5) 2024: 398-402 - [c130]Hossein A. Rahmani, Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Paul Thomas, Charles L. A. Clarke, Mohammad Aliannejadi, Clemencia Siro, Guglielmo Faggioli:
LLMJudge: LLMs for Relevance Judgments. LLM4Eval@SIGIR 2024: 1-3 - [c129]Fanghua Ye, Mingming Yang, Jianhui Pang, Longyue Wang, Derek F. Wong, Emine Yilmaz, Shuming Shi, Zhaopeng Tu:
Benchmarking LLMs via Uncertainty Quantification. NeurIPS 2024 - [c128]Zhengxiang Shi, Adam X. Yang, Bin Wu, Laurence Aitchison, Emine Yilmaz, Aldo Lipani:
Instruction Tuning With Loss Over Instructions. NeurIPS 2024 - [c127]Hossein A. Rahmani, Nick Craswell, Emine Yilmaz, Bhaskar Mitra, Daniel Campos:
Synthetic Test Collections for Retrieval Evaluation. SIGIR 2024: 2647-2651 - [c126]Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz:
LLM4Eval: Large Language Model for Evaluation in IR. SIGIR 2024: 3040-3043 - [e10]Clemencia Siro, Mohammad Aliannejadi, Hossein A. Rahmani, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz:
Proceedings of The First Workshop on Large Language Models for Evaluation in Information Retrieval (LLM4Eval 2024) co-located with 10th International Conference on Online Publishing (SIGIR 2024), Washington D.C., USA, July 18, 2024. CEUR Workshop Proceedings 3752, CEUR-WS.org 2024 [contents] - [i59]Yuxiang Qiu, Karim Djemili, Denis Elezi, Aaneel Shalman, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor, Sahan Bulathwela:
A Toolbox for Modelling Engagement with Educational Videos. CoRR abs/2401.05424 (2024) - [i58]Fanghua Ye, Mingming Yang, Jianhui Pang, Longyue Wang, Derek F. Wong, Emine Yilmaz, Shuming Shi, Zhaopeng Tu:
Benchmarking LLMs via Uncertainty Quantification. CoRR abs/2401.12794 (2024) - [i57]Hossein A. Rahmani, Xi Wang, Mohammad Aliannejadi, Mohammadmehdi Naghiaei, Emine Yilmaz:
Clarifying the Path to User Satisfaction: An Investigation into Clarification Usefulness. CoRR abs/2402.01934 (2024) - [i56]Hossein A. Rahmani, Nick Craswell, Emine Yilmaz, Bhaskar Mitra, Daniel Campos:
Synthetic Test Collections for Retrieval Evaluation. CoRR abs/2405.07767 (2024) - [i55]Zhengyan Shi, Adam X. Yang, Bin Wu, Laurence Aitchison, Emine Yilmaz, Aldo Lipani:
Instruction Tuning With Loss Over Instructions. CoRR abs/2405.14394 (2024) - [i54]Bin Wu, Zhengyan Shi, Hossein A. Rahmani, Varsha Ramineni, Emine Yilmaz:
Understanding the Role of User Profile in the Personalization of Large Language Models. CoRR abs/2406.17803 (2024) - [i53]Xi Wang, Procheta Sen, Ruizhe Li, Emine Yilmaz:
Adaptive Retrieval-Augmented Generation for Conversational Systems. CoRR abs/2407.21712 (2024) - [i52]Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz:
Report on the 1st Workshop on Large Language Model for Evaluation in Information Retrieval (LLM4Eval 2024) at SIGIR 2024. CoRR abs/2408.05388 (2024) - [i51]Hossein A. Rahmani, Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Paul Thomas, Charles L. A. Clarke, Mohammad Aliannejadi, Clemencia Siro, Guglielmo Faggioli:
LLMJudge: LLMs for Relevance Judgments. CoRR abs/2408.08896 (2024) - [i50]Hossein A. Rahmani, Xi Wang, Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Paul Thomas:
SynDL: A Large-Scale Synthetic Test Collection for Passage Retrieval. CoRR abs/2408.16312 (2024) - [i49]Hossein A. Rahmani, Emine Yilmaz, Nick Craswell, Bhaskar Mitra:
JudgeBlender: Ensembling Judgments for Automatic Relevance Assessment. CoRR abs/2412.13268 (2024) - 2023
- [c125]Hamze Muse, Sahan Bulathwela, Emine Yilmaz:
Pre-training with Scientific Text Improves Educational Question Generation (Student Abstract). AAAI 2023: 16288-16289 - [c124]Procheta Sen, Xi Wang, Ruiqing Xu, Emine Yilmaz:
Task2KB: A Public Task-Oriented Knowledge Base. AAAI 2023: 16482-16484 - [c123]Yue Feng, Yunlong Jiao, Animesh Prasad, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai:
Schema-Guided User Satisfaction Modeling for Task-Oriented Dialogues. ACL (1) 2023: 2079-2091 - [c122]Hossein A. Rahmani, Xi Wang, Yue Feng, Qiang Zhang, Emine Yilmaz, Aldo Lipani:
A Survey on Asking Clarification Questions Datasets in Conversational Systems. ACL (1) 2023: 2698-2716 - [c121]Zhengxiang Shi, Francesco Tonolini, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai, Yunlong Jiao:
Rethinking Semi-supervised Learning with Language Models. ACL (Findings) 2023: 5614-5634 - [c120]Fanghua Ye, Zhiyuan Hu, Emine Yilmaz:
Modeling User Satisfaction Dynamics in Dialogue via Hawkes Process. ACL (1) 2023: 8875-8889 - [c119]Sahan Bulathwela, Hamze Muse, Emine Yilmaz:
Scalable Educational Question Generation with Pre-trained Language Models. AIED 2023: 327-339 - [c118]Jordan Massiah, Emine Yilmaz, Yunlong Jiao, Gabriella Kazai:
On the Reliability of User Feedback for Evaluating the Quality of Conversational Agents. CIKM 2023: 4185-4189 - [c117]Xi Wang, Hossein A. Rahmani, Jiqun Liu, Emine Yilmaz:
Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation. EMNLP (Findings) 2023: 3609-3622 - [c116]Fanghua Ye, Meng Fang, Shenghui Li, Emine Yilmaz:
Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting. EMNLP (Findings) 2023: 5985-6006 - [c115]Debasis Ganguly, Emine Yilmaz:
Query-specific Variable Depth Pooling via Query Performance Prediction. SIGIR 2023: 2303-2307 - [c114]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Hossein A. Rahmani, Daniel Campos, Jimmy Lin, Ellen M. Voorhees, Ian Soboroff:
Overview of the TREC 2023 Deep Learning Track. TREC 2023 - [i48]Procheta Sen, Xi Wang, Ruiqing Xu, Emine Yilmaz:
Task2KB: A Public Task-Oriented Knowledge Base. CoRR abs/2302.00654 (2023) - [i47]Debasis Ganguly, Emine Yilmaz:
Query-specific Variable Depth Pooling via Query Performance Prediction towards Reducing Relevance Assessment Effort. CoRR abs/2304.11752 (2023) - [i46]Sahan Bulathwela, Hamze Muse, Emine Yilmaz:
Scalable Educational Question Generation with Pre-trained Language Models. CoRR abs/2305.07871 (2023) - [i45]Fanghua Ye, Zhiyuan Hu, Emine Yilmaz:
Modeling User Satisfaction Dynamics in Dialogue via Hawkes Process. CoRR abs/2305.12594 (2023) - [i44]Zhengxiang Shi, Francesco Tonolini, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai, Yunlong Jiao:
Rethinking Semi-supervised Learning with Language Models. CoRR abs/2305.13002 (2023) - [i43]Yue Feng, Hossein A. Rahmani, Aldo Lipani, Emine Yilmaz:
Towards Asking Clarification Questions for Information Seeking on Task-Oriented Dialogues. CoRR abs/2305.13690 (2023) - [i42]Hossein A. Rahmani, Xi Wang, Yue Feng, Qiang Zhang, Emine Yilmaz, Aldo Lipani:
A Survey on Asking Clarification Questions Datasets in Conversational Systems. CoRR abs/2305.15933 (2023) - [i41]Yue Feng, Yunlong Jiao, Animesh Prasad, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai:
Schema-Guided User Satisfaction Modeling for Task-Oriented Dialogues. CoRR abs/2305.16798 (2023) - [i40]Fanghua Ye, Meng Fang, Shenghui Li, Emine Yilmaz:
Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting. CoRR abs/2310.09716 (2023) - [i39]Xi Wang, Hossein A. Rahmani, Jiqun Liu, Emine Yilmaz:
Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation. CoRR abs/2310.16738 (2023) - 2022
- [j25]Xiangnan He, Zhaochun Ren, Emine Yilmaz, Marc Najork, Tat-Seng Chua:
Graph Technologies for User Modeling and Recommendation: Introduction to the Special Issue - Part 1. ACM Trans. Inf. Syst. 40(2): 21:1-21:5 (2022) - [j24]Xiangnan He, Zhaochun Ren, Emine Yilmaz, Marc Najork, Tat-Seng Chua:
Introduction to the Special Section on Graph Technologies for User Modeling and Recommendation, Part 2. ACM Trans. Inf. Syst. 40(3): 42:1-42:5 (2022) - [c113]Yue Feng, Aldo Lipani, Fanghua Ye, Qiang Zhang, Emine Yilmaz:
Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking. ACL (1) 2022: 115-126 - [c112]Fanghua Ye, Yue Feng, Emine Yilmaz:
ASSIST: Towards Label Noise-Robust Dialogue State Tracking. ACL (Findings) 2022: 2719-2731 - [c111]María Pérez-Ortiz, Sahan Bulathwela, Claire Dormann, Meghana Verma, Stefan Kreitmayer, Richard Noss, John Shawe-Taylor, Yvonne Rogers, Emine Yilmaz:
Watch Less and Uncover More: Could Navigation Tools Help Users Search and Explore Videos? CHIIR 2022: 90-101 - [c110]Gareth J. F. Jones, Procheta Sen, Debasis Ganguly, Emine Yilmaz:
Workshop on Proactive and Agent-Supported Information Retrieval (PASIR). CIKM 2022: 5167-5168 - [c109]Sahan Bulathwela, Meghana Verma, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor:
Can Population-based Engagement Improve Personalisation? A Novel Dataset and Experiments. EDM 2022 - [c108]Fanghua Ye, Xi Wang, Jie Huang, Shenghui Li, Samuel Stern, Emine Yilmaz:
MetaASSIST: Robust Dialogue State Tracking with Meta Learning. EMNLP 2022: 1157-1169 - [c107]Fangyu Liu, Yunlong Jiao, Jordan Massiah, Emine Yilmaz, Serhii Havrylov:
Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations. ICLR 2022 - [c106]Emine Yilmaz:
From Search Queries to Conversations in the Design of Information Retrieval and Access Systems. ICTIR 2022: 1 - [c105]Xiao Fu, Emine Yilmaz, Aldo Lipani:
Evaluating the Cranfield Paradigm for Conversational Search Systems. ICTIR 2022: 275-280 - [c104]Fanghua Ye, Jarana Manotumruksa, Emine Yilmaz:
MultiWOZ 2.4: A Multi-Domain Task-Oriented Dialogue Dataset with Essential Annotation Corrections to Improve State Tracking Evaluation. SIGDIAL 2022: 351-360 - [c103]Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz:
Fostering Coopetition While Plugging Leaks: The Design and Implementation of the MS MARCO Leaderboards. SIGIR 2022: 2939-2948 - [c102]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin, Ellen M. Voorhees, Ian Soboroff:
Overview of the TREC 2022 Deep Learning Track. TREC 2022 - [c101]Rikaz Rameez, Hossein A. Rahmani, Emine Yilmaz:
ViralBERT: A User Focused BERT-Based Approach to Virality Prediction. UMAP (Adjunct Publication) 2022: 85-89 - [c100]Jarana Manotumruksa, Jeffrey Dalton, Edgar Meij, Emine Yilmaz:
Similarity-based Multi-Domain Dialogue State Tracking with Copy Mechanisms for Task-based Virtual Personal Assistants. WWW 2022: 2006-2014 - [i38]María Pérez-Ortiz, Sahan Bulathwela, Claire Dormann, Meghana Verma, Stefan Kreitmayer, Richard Noss, John Shawe-Taylor, Yvonne Rogers, Emine Yilmaz:
Watch Less and Uncover More: Could Navigation Tools Help Users Search and Explore Videos? CoRR abs/2201.03408 (2022) - [i37]Fanghua Ye, Yue Feng, Emine Yilmaz:
ASSIST: Towards Label Noise-Robust Dialogue State Tracking. CoRR abs/2202.13024 (2022) - [i36]Yue Feng, Aldo Lipani, Fanghua Ye, Qiang Zhang, Emine Yilmaz:
Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking. CoRR abs/2204.06677 (2022) - [i35]Peter Hayes, Mingtian Zhang, Raza Habib, Jordan Burgess, Emine Yilmaz, David Barber:
Integrated Weak Learning. CoRR abs/2206.09496 (2022) - [i34]Rikaz Rameez, Hossein A. Rahmani, Emine Yilmaz:
ViralBERT: A User Focused BERT-Based Approach to Virality Prediction. CoRR abs/2206.10298 (2022) - [i33]Sahan Bulathwela, Meghana Verma, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor:
Can Population-based Engagement Improve Personalisation? A Novel Dataset and Experiments. CoRR abs/2207.01504 (2022) - [i32]Giorgio Giannone, Serhii Havrylov, Jordan Massiah, Emine Yilmaz, Yunlong Jiao:
Just Mix Once: Worst-group Generalization by Group Interpolation. CoRR abs/2210.12195 (2022) - [i31]Fanghua Ye, Xi Wang, Jie Huang, Shenghui Li, Samuel Stern, Emine Yilmaz:
MetaASSIST: Robust Dialogue State Tracking with Meta Learning. CoRR abs/2210.12397 (2022) - [i30]Hamze Muse, Sahan Bulathwela, Emine Yilmaz:
Pre-Training With Scientific Text Improves Educational Question Generation. CoRR abs/2212.03869 (2022) - 2021
- [j23]Joemon M. Jose, Emine Yilmaz, João Magalhães, Pablo Castells:
Guest editorial: special issue on ECIR 2020. Inf. Retr. J. 24(1): 1-2 (2021) - [j22]Gizem Gezici, Aldo Lipani, Yücel Saygin, Emine Yilmaz:
Evaluation metrics for measuring bias in search engine results. Inf. Retr. J. 24(2): 85-113 (2021) - [j21]Aldo Lipani, Ben Carterette, Emine Yilmaz:
How Am I Doing?: Evaluating Conversational Search Systems Offline. ACM Trans. Inf. Syst. 39(4): 51:1-51:22 (2021) - [c99]Danula Hettiachchi, Mark Sanderson, Jorge Gonçalves, Simo Hosio, Gabriella Kazai, Matthew Lease, Mike Schaekermann, Emine Yilmaz:
Investigating and Mitigating Biases in Crowdsourced Data. CSCW Companion 2021: 331-334 - [c98]Qiang Zhang, Jonathan Cook, Emine Yilmaz:
Detecting and Forecasting Misinformation via Temporal and Geometric Propagation Patterns. ECIR (2) 2021: 455-462 - [c97]Jarana Manotumruksa, Jeff Dalton, Edgar Meij, Emine Yilmaz:
Improving Dialogue State Tracking with Turn-based Loss Function and Sequential Data Augmentation. EMNLP (Findings) 2021: 1674-1683 - [c96]María Pérez-Ortiz, Claire Dormann, Yvonne Rogers, Sahan Bulathwela, Stefan Kreitmayer, Emine Yilmaz, Richard Noss, John Shawe-Taylor:
X5Learn: A Personalised Learning Companion at the Intersection of AI and HCI. IUI Companion 2021: 70-74 - [c95]Qiang Zhang, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang, Emine Yilmaz:
Variational Continual Bayesian Meta-Learning. NeurIPS 2021: 24556-24568 - [c94]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin:
MS MARCO: Benchmarking Ranking Models in the Large-Data Regime. SIGIR 2021: 1566-1576 - [c93]Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz:
Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard. SIGIR 2021: 2283-2287 - [c92]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees, Ian Soboroff:
TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime. SIGIR 2021: 2369-2375 - [c91]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin:
Overview of the TREC 2021 Deep Learning Track. TREC 2021 - [c90]Ömer Kirnap, Fernando Diaz, Asia Biega, Michael D. Ekstrand, Ben Carterette, Emine Yilmaz:
Estimation of Fair Ranking Metrics with Incomplete Judgments. WWW 2021: 1065-1075 - [c89]Qiang Zhang, Aldo Lipani, Emine Yilmaz:
Learning Neural Point Processes with Latent Graphs. WWW 2021: 1495-1505 - [c88]Fanghua Ye, Jarana Manotumruksa, Qiang Zhang, Shenghui Li, Emine Yilmaz:
Slot Self-Attentive Dialogue State Tracking. WWW 2021: 1598-1608 - [i29]Fanghua Ye, Jarana Manotumruksa, Qiang Zhang, Shenghui Li, Emine Yilmaz:
Slot Self-Attentive Dialogue State Tracking. CoRR abs/2101.09374 (2021) - [i28]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos:
Overview of the TREC 2020 deep learning track. CoRR abs/2102.07662 (2021) - [i27]Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz:
Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard. CoRR abs/2102.12887 (2021) - [i26]Fanghua Ye, Jarana Manotumruksa, Emine Yilmaz:
MultiWOZ 2.4: A Multi-Domain Task-Oriented Dialogue Dataset with Essential Annotation Corrections to Improve State Tracking Evaluation. CoRR abs/2104.00773 (2021) - [i25]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees, Ian Soboroff:
TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime. CoRR abs/2104.09399 (2021) - [i24]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin:
MS MARCO: Benchmarking Ranking Models in the Large-Data Regime. CoRR abs/2105.04021 (2021) - [i23]Qiang Zhang, Hongbin Huang, Shangsong Liang, Zaiqiao Meng, Emine Yilmaz:
Learning to Detect Few-Shot-Few-Clue Misinformation. CoRR abs/2108.03805 (2021) - [i22]Ömer Kirnap, Fernando Diaz, Asia Biega, Michael D. Ekstrand, Ben Carterette, Emine Yilmaz:
Estimation of Fair Ranking Metrics with Incomplete Judgments. CoRR abs/2108.05152 (2021) - [i21]Sahan Bulathwela, María Pérez-Ortiz, Erik Novak, Emine Yilmaz, John Shawe-Taylor:
PEEK: A Large Dataset of Learner Engagement with Educational Videos. CoRR abs/2109.03154 (2021) - [i20]Emine Yilmaz, Peter Hayes, Raza Habib, Jordan Burgess, David Barber:
Sample Efficient Model Evaluation. CoRR abs/2109.12043 (2021) - [i19]Fangyu Liu, Yunlong Jiao, Jordan Massiah, Emine Yilmaz, Serhii Havrylov:
Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations. CoRR abs/2109.13059 (2021) - [i18]Aldo Lipani, Florina Piroi, Emine Yilmaz:
Towards More Accountable Search Engines: Online Evaluation of Representation Bias. CoRR abs/2110.08835 (2021) - [i17]Danula Hettiachchi, Mark Sanderson, Jorge Gonçalves, Simo Hosio, Gabriella Kazai, Matthew Lease, Mike Schaekermann, Emine Yilmaz:
Proceedings of the CSCW 2021 Workshop - Investigating and Mitigating Biases in Crowdsourced Data. CoRR abs/2111.14322 (2021) - [i16]Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor:
Semantic TrueLearn: Using Semantic Knowledge Graphs in Recommendation Systems. CoRR abs/2112.04368 (2021) - 2020
- [j20]Andrew Burnie, Emine Yilmaz, Tomaso Aste:
Analysing Social Media Forums to Discover Potential Causes of Phasic Shifts in Cryptocurrency Price Series. Frontiers Blockchain 3: 1 (2020) - [j19]Rishabh Mehrotra, Ahmed Hassan Awadallah, Emine Yilmaz:
Special issue on learning from user interactions. Inf. Retr. J. 23(6): 525-527 (2020) - [j18]Sahan Bulathwela, María Pérez-Ortiz, Rishabh Mehrotra, Davor Orlic, Colin de la Higuera, John Shawe-Taylor, Emine Yilmaz:
Report on the WSDM 2020 workshop on state-based user modelling (SUM'20). SIGIR Forum 54(1): 5:1-5:11 (2020) - [c87]Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor:
TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources. AAAI 2020: 565-573 - [c86]Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor:
Towards an Integrative Educational Recommender for Lifelong Learners (Student Abstract). AAAI 2020: 13759-13760 - [c85]Nick Craswell, Daniel Campos, Bhaskar Mitra, Emine Yilmaz, Bodo Billerbeck:
ORCAS: 20 Million Clicked Query-Document Pairs for Analyzing Search. CIKM 2020: 2983-2989 - [c84]Sahan Bulathwela, María Pérez-Ortiz, Aldo Lipani, Emine Yilmaz, John Shawe-Taylor:
Predicting Engagement in Video Lectures. EDM 2020 - [c83]Fanghua Ye, Jarana Manotumruksa, Emine Yilmaz:
Unsupervised Few-Bits Semantic Hashing with Implicit Topics Modeling. EMNLP (Findings) 2020: 2566-2575 - [c82]Qiang Zhang, Aldo Lipani, Ömer Kirnap, Emine Yilmaz:
Self-Attentive Hawkes Process. ICML 2020: 11183-11193 - [c81]Jarana Manotumruksa, Emine Yilmaz:
Sequential-based Adversarial Optimisation for Personalised Top-N Item Recommendation. SIGIR 2020: 2045-2048 - [c80]Jarana Manotumruksa, Jeff Dalton, Edgar Meij, Emine Yilmaz:
CrossBERT: A Triplet Neural Architecture for Ranking Entity Properties. SIGIR 2020: 2049-2052 - [c79]Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Daniel Campos:
On the Reliability of Test Collections for Evaluating Systems of Different Types. SIGIR 2020: 2101-2104 - [c78]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos:
Overview of the TREC 2020 Deep Learning Track. TREC 2020 - [c77]Sahan Bulathwela, María Pérez-Ortiz, Rishabh Mehrotra, Davor Orlic, Colin de la Higuera, John Shawe-Taylor, Emine Yilmaz:
SUM'20: State-based User Modelling. WSDM 2020: 899-900 - [e9]Joemon M. Jose, Emine Yilmaz, João Magalhães, Pablo Castells, Nicola Ferro, Mário J. Silva, Flávio Martins:
Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12035, Springer 2020, ISBN 978-3-030-45438-8 [contents] - [e8]Joemon M. Jose, Emine Yilmaz, João Magalhães, Pablo Castells, Nicola Ferro, Mário J. Silva, Flávio Martins:
Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12036, Springer 2020, ISBN 978-3-030-45441-8 [contents] - [i15]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees:
Overview of the TREC 2019 deep learning track. CoRR abs/2003.07820 (2020) - [i14]Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Daniel Campos:
On the Reliability of Test Collections for Evaluating Systems of Different Types. CoRR abs/2004.13486 (2020) - [i13]Sahan Bulathwela, María Pérez-Ortiz, Aldo Lipani, Emine Yilmaz, John Shawe-Taylor:
Predicting Engagement in Video Lectures. CoRR abs/2006.00592 (2020) - [i12]Fanghua Ye, Zhiwei Lin, Chuan Chen, Zibin Zheng, Hong Huang, Emine Yilmaz:
Outlier Resilient Collaborative Web Service QoS Prediction. CoRR abs/2006.01287 (2020) - [i11]Nick Craswell, Daniel Campos, Bhaskar Mitra, Emine Yilmaz, Bodo Billerbeck:
ORCAS: 18 Million Clicked Query-Document Pairs for Analyzing Search. CoRR abs/2006.05324 (2020) - [i10]Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor:
VLEngagement: A Dataset of Scientific Video Lectures for Evaluating Population-based Engagement. CoRR abs/2011.02273 (2020)
2010 – 2019
- 2019
- [j17]Alexandra Olteanu, Jean Garcia-Gathright, Maarten de Rijke, Michael D. Ekstrand, Adam Roegiest, Aldo Lipani, Alex Beutel, Ana Lucic, Ana-Andreea Stoica, Anubrata Das, Asia Biega, Bart Voorn, Claudia Hauff, Damiano Spina, David D. Lewis, Douglas W. Oard, Emine Yilmaz, Faegheh Hasibi, Gabriella Kazai, Graham McDonald, Hinda Haned, Iadh Ounis, Ilse van der Linden, Joris Baan, Kamuela N. Lau, Krisztian Balog, Mahmoud F. Sayed, Maria Panteli, Mark Sanderson, Matthew Lease, Preethi Lahoti, Toshihiro Kamishima:
FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval. SIGIR Forum 53(2): 20-43 (2019) - [j16]Shangsong Liang, Emine Yilmaz, Evangelos Kanoulas:
Collaboratively Tracking Interests for User Clustering in Streams of Short Texts. IEEE Trans. Knowl. Data Eng. 31(2): 257-272 (2019) - [c76]Sebastin Santy, Wazeer Zulfikar, Rishabh Mehrotra, Emine Yilmaz:
Towards Task Understanding in Visual Settings. AAAI 2019: 10027-10028 - [c75]Aldo Lipani, Ben Carterette, Emine Yilmaz:
From a User Model for Query Sessions to Session Rank Biased Precision (sRBP). ICTIR 2019: 109-116 - [c74]Andrew Burnie, Emine Yilmaz:
An Analysis of the Change in Discussions on Social Media with Bitcoin Price. SIGIR 2019: 889-892 - [c73]Qiang Zhang, Shangsong Liang, Aldo Lipani, Zhaochun Ren, Emine Yilmaz:
From Stances' Imbalance to Their HierarchicalRepresentation and Detection. WWW 2019: 2323-2332 - [c72]Qiang Zhang, Aldo Lipani, Shangsong Liang, Emine Yilmaz:
Reply-Aided Detection of Misinformation via Bayesian Deep Learning. WWW 2019: 2333-2343 - [i9]Bhaskar Mitra, Corby Rosset, David Hawking, Nick Craswell, Fernando Diaz, Emine Yilmaz:
Incorporating Query Term Independence Assumption for Efficient Retrieval and Ranking using Deep Neural Networks. CoRR abs/1907.03693 (2019) - [i8]Qiang Zhang, Aldo Lipani, Ömer Kirnap, Emine Yilmaz:
Self-Attentive Hawkes Processes. CoRR abs/1907.07561 (2019) - [i7]Niklas Stoehr, Marc Brockschmidt, Jan Stuehmer, Emine Yilmaz:
Disentangling Interpretable Generative Parameters of Random and Real-World Graphs. CoRR abs/1910.05639 (2019) - [i6]Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor:
TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources. CoRR abs/1911.09471 (2019) - [i5]Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor:
Towards an Integrative Educational Recommender for Lifelong Learners. CoRR abs/1912.01592 (2019) - 2018
- [j15]Emine Yilmaz:
ACM SIGIR Annual Business Meeting 2018: Secretary's Notes. SIGIR Forum 52(2): 5-10 (2018) - [c71]Manisha Verma, Emine Yilmaz, Nick Craswell:
Study of Relevance and Effort across Devices. CHIIR 2018: 309-312 - [c70]Rishabh Mehrotra, Ahmed Hassan Awadallah, Emine Yilmaz:
LearnIR: WSDM 2018 Workshop on Learning from User Interactions. WSDM 2018: 797-798 - [c69]Qiang Zhang, Emine Yilmaz, Shangsong Liang:
Ranking-based Method for News Stance Detection. WWW (Companion Volume) 2018: 41-42 - [e7]Kevyn Collins-Thompson, Qiaozhu Mei, Brian D. Davison, Yiqun Liu, Emine Yilmaz:
The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018. ACM 2018 [contents] - [i4]Sebastin Santy, Wazeer Zulfikar, Rishabh Mehrotra, Emine Yilmaz:
Towards Task Understanding in Visual Settings. CoRR abs/1811.11833 (2018) - [i3]Qiang Zhang, Shangsong Liang, Emine Yilmaz:
Variational Self-attention Model for Sentence Representation. CoRR abs/1812.11559 (2018) - 2017
- [j14]Marijn Koolen, Jaap Kamps, Toine Bogers, Nicholas J. Belkin, Diane Kelly, Emine Yilmaz:
Report on the Second Workshop on Supporting Complex Search Tasks. SIGIR Forum 51(1): 58-66 (2017) - [j13]Hui Fang, Jaap Kamps, Evangelos Kanoulas, Maarten de Rijke, Emine Yilmaz:
Report on the 2017 ACM SIGIR International Conference Theory of Information Retrieval (ICTIR?17). SIGIR Forum 51(3): 78-87 (2017) - [j12]Shangsong Liang, Emine Yilmaz, Hong Shen, Maarten de Rijke, W. Bruce Croft:
Search Result Diversification in Short Text Streams. ACM Trans. Inf. Syst. 36(1): 8:1-8:35 (2017) - [j11]Shangsong Liang, Zhaochun Ren, Yukun Zhao, Jun Ma, Emine Yilmaz, Maarten de Rijke:
Inferring Dynamic User Interests in Streams of Short Texts for User Clustering. ACM Trans. Inf. Syst. 36(1): 10:1-10:37 (2017) - [c68]Shangsong Liang, Zhaochun Ren, Emine Yilmaz, Evangelos Kanoulas:
Collaborative User Clustering for Short Text Streams. AAAI 2017: 3504-3510 - [c67]Marijn Koolen, Jaap Kamps, Toine Bogers, Nicholas J. Belkin, Diane Kelly, Emine Yilmaz:
Current Research in Supporting Complex Search Tasks. SCST@CHIIR 2017: 1-4 - [c66]Jiyin He, Emine Yilmaz:
User Behaviour and Task Characteristics: A Field Study of Daily Information Behaviour. CHIIR 2017: 67-76 - [c65]Nicholas J. Belkin, Toine Bogers, Jaap Kamps, Diane Kelly, Marijn Koolen, Emine Yilmaz:
Second Workshop on Supporting Complex Search Tasks. CHIIR 2017: 433-435 - [c64]Rishabh Mehrotra, Ahmed Hassan Awadallah, Milad Shokouhi, Emine Yilmaz, Imed Zitouni, Ahmed El Kholy, Madian Khabsa:
Deep Sequential Models for Task Satisfaction Prediction. CIKM 2017: 737-746 - [c63]Rishabh Mehrotra, Emine Yilmaz:
Task Embeddings: Learning Query Embeddings using Task Context. CIKM 2017: 2199-2202 - [c62]Manisha Verma, Emine Yilmaz:
Search Costs vs. User Satisfaction on Mobile. ECIR 2017: 698-704 - [c61]Rishabh Mehrotra, Emine Yilmaz:
Extracting Hierarchies of Search Tasks & Subtasks via a Bayesian Nonparametric Approach. SIGIR 2017: 285-294 - [c60]Evangelos Kanoulas, Emine Yilmaz, Rishabh Mehrotra, Ben Carterette, Nick Craswell, Peter Bailey:
TREC 2017 Tasks Track Overview. TREC 2017 - [c59]Rishabh Mehrotra, Ashton Anderson, Fernando Diaz, Amit Sharma, Hanna M. Wallach, Emine Yilmaz:
Auditing Search Engines for Differential Satisfaction Across Demographics. WWW (Companion Volume) 2017: 626-633 - [c58]Bin Zou, Vasileios Lampos, Shangsong Liang, Zhaochun Ren, Emine Yilmaz, Ingemar J. Cox:
A Concept Language Model for Ad-hoc Retrieval. WWW (Companion Volume) 2017: 885-886 - [e6]Marijn Koolen, Jaap Kamps, Toine Bogers, Nicholas J. Belkin, Diane Kelly, Emine Yilmaz:
Proceedings of the Second Workshop on Supporting Complex Search Tasks co-located with the ACM SIGIR Conference on Human Information Interaction & Retrieval (CHIIR 2017), Oslo, Norway, March 11, 2017. CEUR Workshop Proceedings 1798, CEUR-WS.org 2017 [contents] - [e5]Jaap Kamps, Evangelos Kanoulas, Maarten de Rijke, Hui Fang, Emine Yilmaz:
Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2017, Amsterdam, The Netherlands, October 1-4, 2017. ACM 2017, ISBN 978-1-4503-4490-6 [contents] - [i2]Rishabh Mehrotra, Ashton Anderson, Fernando Diaz, Amit Sharma, Hanna M. Wallach, Emine Yilmaz:
Auditing Search Engines for Differential Satisfaction Across Demographics. CoRR abs/1705.10689 (2017) - [i1]Rishabh Mehrotra, Emine Yilmaz:
Extracting Hierarchies of Search Tasks & Subtasks via a Bayesian Nonparametric Approach. CoRR abs/1706.01574 (2017) - 2016
- [j10]Charles L. A. Clarke, Emine Yilmaz:
EVIA 2016: The Seventh International Workshop on Evaluating Information Access. SIGIR Forum 50(2): 44-46 (2016) - [c57]Rishabh Mehrotra, Prasanta Bhattacharya, Emine Yilmaz:
Characterizing Users' Multi-Tasking Behavior in Web Search. CHIIR 2016: 297-300 - [c56]Manisha Verma, Emine Yilmaz:
Category Oriented Task Extraction. CHIIR 2016: 333-336 - [c55]Manisha Verma, Emine Yilmaz:
Characterizing Relevance on Mobile and Desktop. ECIR 2016: 212-223 - [c54]Shangsong Liang, Emine Yilmaz, Evangelos Kanoulas:
Dynamic Clustering of Streaming Short Documents. KDD 2016: 995-1004 - [c53]Rishabh Mehrotra, Prasanta Bhattacharya, Emine Yilmaz:
Deconstructing Complex Search Tasks: a Bayesian Nonparametric Approach for Extracting Sub-tasks. HLT-NAACL 2016: 599-605 - [c52]Emine Yilmaz, Charles L. A. Clarke:
Preface. EVIA@NTCIR 2016 - [c51]Rishabh Mehrotra, Emine Yilmaz:
Query Log Mining for Inferring User Tasks and Needs. ECML/PKDD (3) 2016: 284-288 - [c50]Dell Zhang, Jun Wang, Emine Yilmaz, Xiaoling Wang, Yuxin Zhou:
Bayesian Performance Comparison of Text Classifiers. SIGIR 2016: 15-24 - [c49]Yukun Zhao, Shangsong Liang, Zhaochun Ren, Jun Ma, Emine Yilmaz, Maarten de Rijke:
Explainable User Clustering in Short Text Streams. SIGIR 2016: 155-164 - [c48]Rishabh Mehrotra, Prasanta Bhattacharya, Emine Yilmaz:
Uncovering Task Based Behavioral Heterogeneities in Online Search Behavior. SIGIR 2016: 1049-1052 - [c47]Necip Gözüaçik, Burhanettin Nacar, Emine Yilmaz, Basri Mumcu, Behcet Agar, Mehmet Can Gures, Oguzhan Yavuz:
Increasing trunk capacity on central international soft-switch. SIU 2016: 713-716 - [c46]Manisha Verma, Emine Yilmaz, Rishabh Mehrotra, Evangelos Kanoulas, Ben Carterette, Nick Craswell, Peter Bailey:
Overview of the TREC Tasks Track 2016. TREC 2016 - [c45]Manisha Verma, Emine Yilmaz, Nick Craswell:
On Obtaining Effort Based Judgements for Information Retrieval. WSDM 2016: 277-286 - [e4]Emine Yilmaz, Charles L. A. Clarke:
Proceedings of the Seventh International Workshop on Evaluating Information Access, EVIA 2016, a Satellite Workshop of the NTCIR-12 Conference, National Center of Sciences, Tokyo, Japan, june 7, 2016. National Institute of Informatics (NII) 2016 [contents] - 2015
- [c44]Rishabh Mehrotra, Emine Yilmaz:
Terms, Topics & Tasks: Enhanced User Modelling for Better Personalization. ICTIR 2015: 131-140 - [c43]Rishabh Mehrotra, Emine Yilmaz:
Representative & Informative Query Selection for Learning to Rank using Submodular Functions. SIGIR 2015: 545-554 - [c42]Milad Shokouhi, Ryen White, Emine Yilmaz:
Anchoring and Adjustment in Relevance Estimation. SIGIR 2015: 963-966 - [c41]Charles L. A. Clarke, Mark D. Smucker, Emine Yilmaz:
IR Evaluation: Modeling User Behavior for Measuring Effectiveness. SIGIR 2015: 1117-1120 - [c40]Jin Young Kim, Emine Yilmaz:
IR Evaluation: Designing an End-to-End Offline Evaluation Pipeline. SIGIR 2015: 1129-1132 - [c39]Necip Gözüaçik, Emine Yilmaz, Ferhat Tuncel, Kenan Sahin, Bahadir Özdemir, Ufuk Gurpinar, Ersin Bayramoglu, Oguzhan Yavuz, Ayse Belma Sahin Kaya:
Multi country support on VoIP switches: Central international switch. SIU 2015: 1378-1380 - [c38]Emine Yilmaz, Manisha Verma, Rishabh Mehrotra, Evangelos Kanoulas, Ben Carterette, Nick Craswell:
Overview of the TREC 2015 Tasks Track. TREC 2015 - [c37]Rishabh Mehrotra, Emine Yilmaz:
Towards Hierarchies of Search Tasks & Subtasks. WWW (Companion Volume) 2015: 73-74 - [e3]Costas S. Iliopoulos, Simon J. Puglisi, Emine Yilmaz:
String Processing and Information Retrieval - 22nd International Symposium, SPIRE 2015, London, UK, September 1-4, 2015, Proceedings. Lecture Notes in Computer Science 9309, Springer 2015, ISBN 978-3-319-23825-8 [contents] - 2014
- [c36]Emine Yilmaz, Manisha Verma, Nick Craswell, Filip Radlinski, Peter Bailey:
Relevance and Effort: An Analysis of Document Utility. CIKM 2014: 91-100 - [c35]Emine Yilmaz, Evangelos Kanoulas, Nick Craswell:
Effect of Intent Descriptions on Retrieval Evaluation. CIKM 2014: 599-608 - [c34]Manisha Verma, Emine Yilmaz:
Entity Oriented Task Extraction from Query Logs. CIKM 2014: 1975-1978 - [c33]Rishabh Mehrotra, Emine Yilmaz, Manisha Verma:
Task-Based User Modelling for Personalization via Probabilistic Matrix Factorization. RecSys Posters 2014 - 2013
- [j9]Matthew Lease, Emine Yilmaz:
Crowdsourcing for information retrieval: introduction to the special issue. Inf. Retr. 16(2): 91-100 (2013) - [j8]Guido Zuccon, Teerapong Leelanupab, Stewart Whiting, Emine Yilmaz, Joemon M. Jose, Leif Azzopardi:
Crowdsourcing interactions: using crowdsourcing for evaluating interactive information retrieval systems. Inf. Retr. 16(2): 267-305 (2013) - [j7]Charles L. A. Clarke, Luanne Freund, Mark D. Smucker, Emine Yilmaz:
Report on the SIGIR 2013 workshop on modeling user behavior for information retrieval evaluation (MUBE 2013). SIGIR Forum 47(2): 84-95 (2013) - [c32]Gabriella Kazai, Emine Yilmaz, Nick Craswell, Seyed M. M. Tahaghoghi:
User intent and assessor disagreement in web search evaluation. CIKM 2013: 699-708 - [c31]Stephen Robertson, Evangelos Kanoulas, Emine Yilmaz:
Modelling Score Distributions Without Actual Scores. ICTIR 2013: 20 - [c30]Charles L. A. Clarke, Luanne Freund, Mark D. Smucker, Emine Yilmaz:
SIGIR 2013 workshop on modeling user behavior for information retrieval evaluation. SIGIR 2013: 1134 - [e2]Pavel Serdyukov, Pavel Braslavski, Sergei O. Kuznetsov, Jaap Kamps, Stefan M. Rüger, Eugene Agichtein, Ilya Segalovich, Emine Yilmaz:
Advances in Information Retrieval - 35th European Conference on IR Research, ECIR 2013, Moscow, Russia, March 24-27, 2013. Proceedings. Lecture Notes in Computer Science 7814, Springer 2013, ISBN 978-3-642-36972-8 [contents] - 2012
- [c29]Gabriella Kazai, Nick Craswell, Emine Yilmaz, Seyed M. M. Tahaghoghi:
An analysis of systematic judging errors in information retrieval. CIKM 2012: 105-114 - [c28]Ben Carterette, Evangelos Kanoulas, Emine Yilmaz:
Incorporating variability in user behavior into systems based evaluation. CIKM 2012: 135-144 - [c27]Mehdi Hosseini, Ingemar J. Cox, Natasa Milic-Frayling, Milad Shokouhi, Emine Yilmaz:
An uncertainty-aware query selection model for evaluation of IR systems. SIGIR 2012: 901-910 - [c26]Emine Yilmaz, Gabriella Kazai, Nick Craswell, Seyed M. M. Tahaghoghi:
On judgments obtained from a commercial search engine. SIGIR 2012: 1115-1116 - [c25]Ben Carterette, Evangelos Kanoulas, Emine Yilmaz:
Advances on the development of evaluation measures. SIGIR 2012: 1200-1201 - 2011
- [j6]Leif Azzopardi, Dawei Song, Gabriella Kazai, Stephen Robertson, Stefan M. Rüger, Milad Shokouhi, Emine Yilmaz:
Introduction to special issue on the second international conference on the theory of information retrieval. Inf. Retr. 14(1): 1-4 (2011) - [j5]Matthew Lease, Vitor R. Carvalho, Emine Yilmaz:
Crowdsourcing for search and data mining. SIGIR Forum 45(1): 18-24 (2011) - [j4]Matthew Lease, Emine Yilmaz:
Crowdsourcing for information retrieval. SIGIR Forum 45(2): 66-75 (2011) - [c24]Martin Szummer, Emine Yilmaz:
Semi-supervised learning to rank with preference regularization. CIKM 2011: 269-278 - [c23]Ben Carterette, Evangelos Kanoulas, Emine Yilmaz:
Simulating simple user behavior for system effectiveness evaluation. CIKM 2011: 611-620 - [c22]Chang Wang, Emine Yilmaz, Martin Szummer:
Relevance feedback exploiting query-specific document manifolds. CIKM 2011: 1957-1960 - [c21]Paul N. Bennett, Filip Radlinski, Ryen W. White, Emine Yilmaz:
Inferring and using location metadata to personalize web search. SIGIR 2011: 135-144 - [c20]Vitor R. Carvalho, Matthew Lease, Emine Yilmaz:
Crowdsourcing for search and data mining. WSDM 2011: 5-6 - [c19]Filip Radlinski, Paul N. Bennett, Emine Yilmaz:
Detecting duplicate web documents using clickthrough data. WSDM 2011: 147-156 - 2010
- [j3]Emine Yilmaz, Stephen Robertson:
On the choice of effectiveness measures for learning to rank. Inf. Retr. 13(3): 271-290 (2010) - [j2]Vitor R. Carvalho, Matthew Lease, Emine Yilmaz:
Crowdsourcing for search evaluation. SIGIR Forum 44(2): 17-22 (2010) - [c18]Emine Yilmaz, Milad Shokouhi, Nick Craswell, Stephen Robertson:
Expected browsing utility for web search evaluation. CIKM 2010: 1561-1564 - [c17]Stephen E. Robertson, Evangelos Kanoulas, Emine Yilmaz:
Extending average precision to graded relevance judgments. SIGIR 2010: 603-610 - [c16]Ben Carterette, Evangelos Kanoulas, Emine Yilmaz:
Low cost evaluation in information retrieval. SIGIR 2010: 903
2000 – 2009
- 2009
- [c15]Javed A. Aslam, Evangelos Kanoulas, Virgiliu Pavlu, Stefan Savev, Emine Yilmaz:
Document selection methodologies for efficient and effective learning-to-rank. SIGIR 2009: 468-475 - [c14]Emine Yilmaz, Stephen Robertson:
Deep versus shallow judgments in learning to rank. SIGIR 2009: 662-663 - [c13]Emine Yilmaz, Milad Shokouhi, Nick Craswell, Stephen Robertson:
Incorporating User Behavior Information in IR Evaluation. UIIR@SIGIR 2009 - [c12]Nick Craswell, Dennis Fetterly, Marc Najork, Stephen Robertson, Emine Yilmaz:
Microsoft Research at TREC 2009: Web and Relevance Feedback Track. TREC 2009 - [e1]Leif Azzopardi, Gabriella Kazai, Stephen E. Robertson, Stefan M. Rüger, Milad Shokouhi, Dawei Song, Emine Yilmaz:
Advances in Information Retrieval Theory, Second International Conference on the Theory of Information Retrieval, ICTIR 2009, Cambridge, UK, September 10-12, 2009, Proceedings. Lecture Notes in Computer Science 5766, Springer 2009, ISBN 978-3-642-04416-8 [contents] - 2008
- [j1]Emine Yilmaz, Javed A. Aslam:
Estimating average precision when judgments are incomplete. Knowl. Inf. Syst. 16(2): 173-211 (2008) - [c11]Emine Yilmaz, Javed A. Aslam, Stephen Robertson:
A new rank correlation coefficient for information retrieval. SIGIR 2008: 587-594 - [c10]Emine Yilmaz, Evangelos Kanoulas, Javed A. Aslam:
A simple and efficient sampling method for estimating AP and NDCG. SIGIR 2008: 603-610 - [c9]Peter Bailey, Nick Craswell, Ian Soboroff, Paul Thomas, Arjen P. de Vries, Emine Yilmaz:
Relevance assessment: are judges exchangeable and does it matter. SIGIR 2008: 667-674 - 2007
- [c8]Javed A. Aslam, Emine Yilmaz:
Inferring document relevance from incomplete information. CIKM 2007: 633-642 - 2006
- [c7]Emine Yilmaz, Javed A. Aslam:
Estimating average precision with incomplete and imperfect judgments. CIKM 2006: 102-111 - [c6]Javed A. Aslam, Virgiliu Pavlu, Emine Yilmaz:
A statistical method for system evaluation using incomplete judgments. SIGIR 2006: 541-548 - [c5]Javed A. Aslam, Emine Yilmaz:
Inferring document relevance via average precision. SIGIR 2006: 601-602 - 2005
- [c4]Javed A. Aslam, Emine Yilmaz:
A geometric interpretation and analysis of R-precision. CIKM 2005: 664-671 - [c3]Javed A. Aslam, Emine Yilmaz, Virgiliu Pavlu:
The maximum entropy method for analyzing retrieval measures. SIGIR 2005: 27-34 - [c2]Javed A. Aslam, Virgiliu Pavlu, Emine Yilmaz:
Measure-based metasearch. SIGIR 2005: 571-572 - [c1]Javed A. Aslam, Emine Yilmaz, Virgiliu Pavlu:
A geometric interpretation of r-precision and its correlation with average precision. SIGIR 2005: 573-574
Coauthor Index
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